Large language model (LLM) news — GPT-4, Claude, Gemini, Llama, Mistral and the latest research on training, fine-tuning, RLHF, and deployment of LLMs.
Access to Anthropic's Claude Fable 5 model has been restored on Vercel's AI Gateway after the US government lifted export controls. The model now features updated safety classifiers, and Anthropic retains prompts and com…
Google Cloud introduced a multi-node KV cache offloading solution using GKE and Managed Lustre for large language model inference, achieving over 50% TCO savings and nearly 60% reduction in GPU-hour requirements for Llam…
A developer built a minimal WebMCP agent using Playwright and the Gemini API to test WebMCP tools with stronger AI models. The agent uses Playwright to control a real Chrome browser, enabling tool discovery and execution…
Ragit, a new command-line tool, enables users to chat with any folder of documents using a local LLM via Ollama. It implements Retrieval-Augmented Generation (RAG) by indexing files, creating embeddings, and retrieving r…
A security researcher demonstrated that indirect prompt injection in agentic coding tools like Claude Code can lead to full system compromise. By cloning a seemingly benign GitHub repository, the researcher triggered a r…
A startup co-founder reveals their team spent $10,000 per week on AI coding agents from Anthropic, Cursor, and OpenAI, prompting a cost-cutting shift to balance velocity with spending as the industry moves from maximizin…
Correctover released correctover-patronus, an adapter that integrates its 87 deterministic verification rules as native evaluators within the Patronus AI framework. The tool adds six verification dimensions—structure, sc…
Advanced AI models Mythos 5 and Fable 5 from Anthropic are again available to users outside the United States after the Trump administration lifted a blockade imposed in June over security concerns. The models were disab…
Researchers at the Korea Advanced Institute of Science and Technology developed BehavERT, an AI model that interprets animal movement patterns like language, and used it to detect autism-related social deficits in mice w…
A developer explains how prompt engineering can significantly improve the quality of AI-generated code and responses. The guide covers key techniques such as defining roles, providing context, and using step-by-step prom…
A developer argues that hand-maintained .cursorrules files inevitably become stale and misleading, causing AI agents to apply outdated architecture decisions. The developer proposes generating agent-readable rules automa…
Arena, an AI evaluation platform born at UC Berkeley, reached a $100M annual revenue run rate eight months after launching its product, as demand surges for benchmarks that measure real-world AI utility. The company now …
Supacode, a native macOS app built on The Composable Architecture and GhosttyKit, has evolved from a harness for running CLI coding agents into a full IDE with flexible panes for agents, editor, file management, and Git,…
Anthropic's Claude Code uses prompt caching to avoid reprocessing unchanged parts of API requests, organized by layers of system prompt, project context, and conversation. Actions like switching models, changing effort l…
Anthropic has introduced prompt caching for its Claude API, allowing developers to resume from specific prefixes in prompts to reduce processing time and costs. The feature supports automatic and explicit caching with a …
The Trump administration lifted export restrictions on Anthropic's Mythos and Fable models after the company agreed to proactively address security risks and work with the U.S. government on protocols. Access will resume…
RosettaSim, a new framework from researchers, integrates Large Language Model attention mechanisms into traffic simulations to improve multi-agent interactions, outperforming existing methods in the Waymo Open Sim Agent …
Large language model agents have improved lower bounds on two classic mathematical inequalities, the first autocorrelation inequality and the Erdős minimum-overlap constant, using automated constraint generation and veri…
New research explores multi-agent deliberation (MAD) frameworks for legal reasoning using large language models, showing that multi-agent systems can match or complement traditional models in handling complex legal quest…
NVIDIA's Nemotron Model Reasoning Challenge saw researchers achieve 96% validation accuracy and a 7th-place finish by abandoning traditional arithmetic logic for bit manipulation puzzles. Instead, they used string simila…